The most popular methodology [1]} in peer-reviewed publications and submissions for reimbursement is matching-adjusted indirect comparison (MAIC) [2]}, [3]}, [4]}. MAIC weights the subjects in the index trial to create a “pseudo-sample” with balanced moments with respect to the competitor trial. The standard formulation of MAIC proposed by Signorovitch et al. [2]} uses a method of moments to estimate a logistic regression, which models the trial assignment mechanism. The weights are derived from the fitted model and represent the odds of assignment to the competitor trial for the subjects in the IPD, conditional on selected baseline covariates.
